Merge two columns to combine counts and percentages

The cols_merge_n_pct() function is a specialized variant of the cols_merge() function. It operates by taking two columns that constitute both a count (col_n) and a fraction of the total population (col_pct) and merges them into a single column. What results is a column containing both counts and their associated percentages (e.g., 12 (23.2%)). The column specified in col_pct is dropped from the output table.

Usage

cols_merge_n_pct(data, col_n, col_pct, autohide = TRUE)

Arguments

data: A table object that is created using the gt() function.
col_n: A column that contains values for the count component.
col_pct: A column that contains values for the percentage component. This column should be formatted such that percentages are displayed (e.g., with fmt_percent()).
autohide: An option to automatically hide the column specified as col_pct. Any columns with their state changed to hidden will behave the same as before, they just won't be displayed in the finalized table.

Value

An object of class gt_tbl.

Details

This function could be somewhat replicated using cols_merge(), however, cols_merge_n_pct() employs the following specialized semantics for NA and zero-value handling:

NAs in col_n result in missing values for the merged column (e.g., NA + 10.2% = NA)
NAs in col_pct (but not col_n) result in base values only for the merged column (e.g., 13 + NA = 13)
NAs both col_n and col_pct result in missing values for the merged column (e.g., NA + NA = NA)
If a zero (0) value is in col_n then the formatted output will be "0" (i.e., no percentage will be shown)

Any resulting NA values in the col_n column following the merge operation can be easily formatted using the sub_missing() function. Separate calls of sub_missing() can be used for the col_n and col_pct columns for finer control of the replacement values. It is the responsibility of the user to ensure that values are correct in both the col_n and col_pct columns (this function neither generates nor recalculates values in either). Formatting of each column can be done independently in separate fmt_number() and fmt_percent() calls.

This function is part of a set of four column-merging functions. The other two are the general cols_merge() function and the specialized cols_merge_uncert() and cols_merge_range() functions. These functions operate similarly, where the non-target columns can be optionally hidden from the output table through the hide_columns or autohide options.

Examples

Use pizzaplace to create a gt table that displays the counts and percentages of the top 3 pizzas sold by pizza category in 2015. The cols_merge_n_pct() function is used to merge the n and frac columns (and the frac column is formatted using fmt_percent()).

pizzaplace %>%
  dplyr::group_by(name, type, price) %>%
  dplyr::summarize(
    n = dplyr::n(),
    frac = n/nrow(.),
    .groups = "drop"
  ) %>%
  dplyr::arrange(type, dplyr::desc(n)) %>%
  dplyr::group_by(type) %>%
  dplyr::slice_head(n = 3) %>%
  gt(
    rowname_col = "name",
    groupname_col = "type"
  ) %>%
  fmt_currency(price) %>%
  fmt_percent(frac) %>%
  cols_merge_n_pct(
    col_n = n,
    col_pct = frac
  ) %>%
  cols_label(
    n = md("*N* (%)"),
    price = "Price"
  ) %>%
  tab_style(
    style = cell_text(font = "monospace"),
    locations = cells_stub()
  ) %>%
  tab_stubhead(md("Cat. and  \nPizza Code")) %>%
  tab_header(title = "Top 3 Pizzas Sold by Category in 2015") %>%
  tab_options(table.width = px(512))

This image of a table was generated from the first code example in the `cols_merge_n_pct()` help file.

Function ID

4-12